Needlehelp

ML Predictor
Backend

Inspiration

While volunteering in the operating room, I noticed that placing subdermal electrodes was a slow, manual process prone to needle sticks. This inspired me to create a device that could automate the procedure, improving safety and efficiency.

What it does

Our device automates the placement and retraction of subdermal electrodes using a robotic arm controlled by an Arduino Uno. It accurately inserts and removes the needle, reducing human error and speeding up the process.

How we built it

We used an Arduino Uno to control the robotic arm and integrate real-time sensors for precise needle placement. The device was designed to be portable, sterilizable, and easy to incorporate into existing surgical workflows. We also compiled a dataset and trained an AI model to optimize needle movement and placement accuracy.

Challenges we ran into

Needle movement: Ensuring smooth and accurate needle insertion and retraction was challenging, especially with the mechanical constraints of the system.
Dataset compilation: Gathering and labeling enough data for AI training to fine-tune needle placement was a time-consuming task.
AI training: Training the AI to accurately predict and control needle movements required significant iterations and testing.

Accomplishments that we're proud of

Prototype success: The device reliably places and retracts the needle with precision.
Positive feedback: Surgeons and OR staff were excited about the potential to improve procedure efficiency and reduce risks.
Tech integration: We successfully used Arduino Uno, real-time sensors, and AI to create an effective solution.

What we learned

Precision is critical: Every detail in needle movement must be fine-tuned to ensure safety.
Data-driven development: Gathering and training with sufficient data was key to improving the device's accuracy.
Collaboration: Working closely with healthcare professionals ensured the device met real-world needs.

What's next for Needlehelp

Clinical trials: We plan to test the device in live surgeries to collect data and refine it.
Expansion: We aim to apply the technology to other procedures that require precise needle placement.
Partnerships: We're looking for collaborations to bring the device to market and integrate it into surgical practices.